基于OFDM协作中继的机会主义频谱共享协议及其最优资源分配

doi:10.3969/j.issn.1000-436x.2012.11.010

Abstract

Abstract:

An opportunistic spectrum sharing protocol based on OFDM cooperation relaying was proposed.When the primary user experiences weak channel conditions,it could not achieve its target rate.If the cognitive user could help the primary user achieve its target rate,it accessed the pectrum of the primary user in the cooperation way.In this access way,the cognitive user used a fraction of the subcarriers to amplify-and-forward the signal of the primary user,to help the primary user achieve its target rate.And uses the remained subcarriers to transmit its own signal.The resource allocation was analyzed in this cooperation way.An optimal resource allocation algorithm based on dual ethod was proposed,which maximized the rate of the cognitive user while g anteeing the primary user achieve its target rate.If the cognitive user could not help the primary user achieve its target rate,to make use the spectrum efficiently,the cognitive user accessed the spectrum of the primary user in the non-cooperation way,and uses the whole accessed spectrum to transmit its own signal.The simulation demonstrates the efficiency of the proposed spectrum sharing protocol as well as its benefit to both primary and cognitive user.

Key words: spectrum sharing, cooperative relaying, OFDM, subcarrier pairing, power allocation

Wei-dang LU,Xuan-li WU,Xue-jun SHA,Nai-tong ZHANG. Opportunistic spectrum sharing protocol and optimal resource allocation based on OFDM cooperation relaying[J]. Journal on Communications, 2012, 33(11): 74-86.

Figures/Tables 6

References 17

[1]	FCC.Spectrum Policy Task Force Report[R]. 2002.
[2]	MITOLA J , MAGUIRE G Q . Cognitive radios:making software radios more personal[J]. IEEE Personal Communication, 1999,6(4): 13-18.
[3]	HAYKIN S . Cognitive radio:brain-empowered wireless communications[J]. IEEE Journal on Selected Areas in Communication, 2005,23(2): 201-220.
[4]	JOVICIC A , VISHWANATH P . Cognitive radio:an information-theoretic perspective[J]. IEEE Transactions on Information Theory, 2009,55(9): 3945-3958.
[5]	PANDHARIPANDE A , HO C K . Stochastic spectrum pool reassignment for cognitive relay systems[A]. IEEE Wireless Communications and Networking Conference[C]. Las Vegas,NV,USA, 2008. 588-592.
[6]	KANG X , LIANG Y C , NALLANATHAN A . Optimal power allocation for fading channels in cognitive radio networks:ergodic capacity and outage capacity[J]. IEEE Transactions on Wireless Communication, 2009,8(2): 940-950.
[7]	KANG X , GARG H K , LIANG Y C . Optimal power allocation for OFDM-based cognitive radio with new primary transmission protection criteria[J]. IEEE Transactions on Wireless Communication, 2010,9(6): 2066-2075.
[8]	LETAIEF K B , ZHANG W . Cooperative communications for cognitive radio networks[J]. IEEE:Special Issue on Cogniti Radio, 2009,97(5): 878-893.
[9]	SIMEONE O , STANOJEV I , SAVAZZI S . Spectrum leasing to cooperating secondary ad hoc networks[J]. IEEE Journal on lected Areas in Communications, 2008,26(1): 203-213.
[10]	HAN Y , PANDHARIPANDE A , TING S H . Cooperative decode-andforward relaying for secondary spectrum access[J]. IEEE Transactions on Wireless Communication, 2009,8(10): 4945-4950.
[11]	HAN Y , PANDHARIPANDE A , TING S H . Cooperative spectrum sharing via controlled amplify-and-forward relaying[A]. IEEE 19th International Symposium on Personal,Indoor and Mobile Radio Communications[C]. Cannes,France, 2008. 1-5.
[12]	PUN M O , MORELLI M , KUO C J . Multi-carrier Techniques for Broadband Wireless Communications:a Signal Processing Perspective[M]. London: Imperial College PressPress, 2007.
[13]	LI Y , WANG W , KONGONG J . Subcarrier pairing for amplify-andforward and decode-and-forward OFDM relay links[J]. IEEE Communication Letters, 2009,13(1): 209-211.
[14]	HAMMERSTROM I , WITTNEBEN A . On the optimal power allocation for nonregenerative OFDM relay links[A]. IEEE International Conference on Communications[C]. Istanbul,Turkey, 2006.44634468.
[15]	YU W , LUI R . Dual methods for nonconvex spectrum optimization of multicarrier systems[J]. IEEE Transactions on Wireless Communication, 2006,54(7): 1310-1322.
[16]	DANG W B , TAO M X , MU H . Subcarrier-pair based resource allocation for cooperative multi-relay OFDM systems[J]. IEEE Transactions on Wireless Communication, 2010,9(5): 1640-1649.
[17]	BOYD S , VANDENBERGHE L . Convex Optimization[M]. Cambridge: Cambridge University PressPress, 2004.

Metrics

Recommended 0

No Suggested Reading articles found!

Opportunistic spectrum sharing protocol and optimal resource allocation based on OFDM cooperation relaying

RichHTML

PDF

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 6

References 17

Related Articles 15

Metrics

Recommended 0

[1]	Guang YANG, Zhaoyang WU, Min NIE, Xiaohong YAN, Fan JIANG. Research on PAPR reduction algorithm based on CWGAN-SLM for multi-wavelet OFDM system [J]. Journal on Communications, 2023, 44(4): 99-110.
[2]	Changqing SONG, Hongzhi ZHAO, Lizhi QIN, Shihai SHAO. Performance analysis and power optimization for FH secure communication under frequency and phase mismatch [J]. Journal on Communications, 2022, 43(9): 42-56.
[3]	Shuai MA, Bing LI, Haihong SHENG, Rongyan GU, Hui ZHOU, Hongmei WANG, Yue WANG, Shiyin LI. Research on power allocation of integrated VLPC based on deep reinforcement learning [J]. Journal on Communications, 2022, 43(8): 121-130.
[4]	Gangcan SUN, Xinli WU, Wanming HAO, Zhengyu ZHU. Hybrid precoding and power allocation for mmWave NOMA systems based on time delay line arrays [J]. Journal on Communications, 2022, 43(6): 179-188.
[5]	Ying HUANG, Zehan WAN, Jing LEI, Ke LAI. Continuous noise covert transmission scheme based on QCSK [J]. Journal on Communications, 2022, 43(4): 123-132.
[6]	Linsen XU, Wei YANG, Hongxian TIAN. Channel interleaver design and performance analysis for ultrasonic through-metal communication [J]. Journal on Communications, 2022, 43(10): 1-11.
[7]	Kai MEI, Haitao ZHAO, Xiaoran LIU, Jun LIU, Jun XIONG, Baoquan REN, Jibo WEI. Efficient model-and-data based channel estimation algorithm [J]. Journal on Communications, 2022, 43(1): 59-70.
[8]	Junyi YANG, Bo LI, Qinyu ZHANG. Resource optimization for UAV relay networks based on physical-layer network coding [J]. Journal on Communications, 2021, 42(9): 12-20.
[9]	Changyin SUN, Liyan LIU, Fan JIANG, Jing JIANG. DNN-based Sub-6 GHz assisted millimeter wave network power allocation algorithm [J]. Journal on Communications, 2021, 42(9): 184-193.
[10]	Guo LI, Ni WEN, Fengkui GONG, Jian ZHANG, Sihan ZHANG. Interference detection and diversity suppression algorithm of OFDM system under partial-band jamming [J]. Journal on Communications, 2021, 42(9): 194-204.
[11]	Xue WANG, Jing LIU, Jiani SUN, Jizhen ZHANG, Zhihong QIAN. Spectral clustering-based energy-efficient resource allocation algorithm in heterogeneous cellular ultra-dense network [J]. Journal on Communications, 2021, 42(7): 162-175.
[12]	Jie HUANG, Fan YANG, Yingzhao XIE, Xun ZUO, Tian QIU. Network slicing with spectrum sharing strategy in cognitive capacity harvesting network [J]. Journal on Communications, 2021, 42(7): 189-197.
[13]	Taoshen LI, Li SUN, Zhe WANG. Optimal transmission strategy of diamond channel with limited battery capacity of source node [J]. Journal on Communications, 2021, 42(6): 158-170.
[14]	Fengkui GONG, Ni WEN, Guo LI, Yang GAO. Low-complexity and frequency-offset-robust synchronization algorithm based on CAZAC sequence [J]. Journal on Communications, 2021, 42(2): 64-71.
[15]	Gangcan SUN, Shaoke ZHAO, Wanming HAO, Zhengyu ZHU. Secure transmission for NOMA downlink based on short packet communication [J]. Journal on Communications, 2021, 42(2): 168-176.